difftable.plot
This function produces a ggplot2 figure contianing the mean differences for
each level two, or cluster.
geom_rug_alt
Alternate Marginal Rug Plot Geom for ggplot2
getPropensityScores
Returns a data frame with two columns corresponding to the level 2 variable
and the fitted value from the logistic regression.
getStrata
Returns a data frame with two columns corresponding to the level 2 variable
and the leaves from the conditional inference trees.
is.mlpsa
Returns true if the object is of type mlpsa
loess.plot
Loess plot with density distributions for propensity scores and outcomes on
top and right, respectively.
lsos
Nicer list of objects in memory. Particularly useful for analysis of large data.
missing.plot
Returns a heat map graphic representing missinging of variables grouped by
the given grouping vector.
mlpsa
This function will perform phase II of the multilevel propensity score analysis.
mlpsa.circ.plot
Plots the results of a multilevel propensity score model.
mlpsa.ctree
Estimates propensity scores using the recursive partitioning in a conditional inference framework.
mlpsa.difference.plot
Creates a graphic summarizing the differences between treatment and comparison
groups within and across level two clusters.
mlpsa.distribution.plot
Plots distribution for either the treatment or comparison group.
mlpsa.logistic
Estimates propensity scores using logistic regression.
pisa.colnames
Mapping of variables in pisana
with full descriptions.
pisa.psa.cols
Character vector representing the list of covariates used for estimating
propensity scores.
pisana
North American (i.e. Canada, Mexico, and United States) student results of the 2009
Programm of International Student Assessment.
psrange
Estimates models with increasing number of comparision subjects starting from
1:1 to using all available comparison group subjects.
tree.plot
Heat map representing variables used in a conditional inference tree across level 2 variables.